Michael Y.C. Chong, PhD
- Postdoctoral Fellow, University of Oxford
- michael [dot] chong [at] sociology [dot] ox.ac.uk
Hi! I’m an applied statistician interested in demography and population health, broadly defined. I’m currently working as a Postdoctoral Fellow in the Department of Sociology at the University of Oxford. Before coming to Oxford, I completed my PhD in the Department of Statistical Sciences at the University of Toronto, where I worked on Bayesian methods for global health estimation problems.
I’m always open to chatting about collaboration opportunities. Please get in touch if you think our interests might align.
I’m always open to chatting about collaboration opportunities. Please get in touch if you think our interests might align.
Academic Work
Select Papers
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Global and regional causes of maternal deaths 2009–20: a WHO systematic analysis
2025, The Lancet Global Health [link] J.A. Cresswell, M. Alexander., MC, et al. -
Correcting historical mortality rate bias in big crowd-sourced online genealogies
Updated 2024, MPIDR working paper [link] MC, D. Alburez-Gutierrez, M. Alexander, and E. Zagheni -
Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model
2024, Journal of the Royal Statistical Society Series C [link] MC, M. Alexander -
Estimating causes of maternal death in data-sparse contexts
2024, Statistics in Medicine [link] MC, M. Pejchinovska, M. Alexander
Other
- DoSS Toolkit 2021 [preprint] R. Alexander, S. Caetano, et al. A free collection of student-written lessons for learning R.
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High thoroughput Bayesian modelling workflow
Presented Nov. 2020 at Toronto Data Workshop
Misc.
- iSci Sib Genealogy Project (2017 - ongoing) with data from the iSci Society A directory of the Big Sib network of the Integrated Science program at McMaster University.
- Exploring the Kolakoski Sequence (2017) with A. Basinski A website demonstrating the construction of the Kolakoski sequence and a related open problem.